Stevens Institute, Hoboken, reports the universal identity P²+K²=1, uniting polarization with entanglement across setups and ...

A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, ...

Born from EV technology, this electronic brake booster is quietly transforming how vintage performance cars stop—and why ...

In the grand theatre of global development, Nigeria stands as a tragic protagonist, a character possessing the immense ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...

Earthquakes happen daily, sometimes with devastating consequences, yet predicting them remains out of reach. What scientists ...

If you're struggling with math, these best math AI tools can help you solve those complex problems and equations with ease.

Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...

More than a century after Srinivasa Ramanujan scribbled his astonishing formulas for π in notebooks in India and England, ...

Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...

EqualZ is a simplified clone of EqualX, but written in Python and standalone, i.e. without depending on external tools. In other words, you don't have to install a full LaTeX stack and bloat your disk ...

Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we ...